TreeWAS – [Z89.5] Acquired absence of leg at or below knee

Variant effects

Click on a variant to see its association results.

Download this figure in format

Genome-wide Chromosomes: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22

Results table

Variant	Risk posterior probability	No effect posterior probability	Protective posterior probability
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.692	0.308	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.667	0.333	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.649	0.351	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.629	0.371	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.616	0.384	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.614	0.386	0.000
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.610	0.390	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.588	0.412	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.573	0.427	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.564	0.436	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.563	0.437	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.550	0.450	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.547	0.453	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.544	0.456	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.540	0.460	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.537	0.463	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.529	0.471	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.527	0.473	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.524	0.476	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.514	0.485	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.514	0.486	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.514	0.486	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.513	0.487	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.511	0.489	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.511	0.489	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.509	0.491	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.506	0.494	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.505	0.495	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.500	0.500	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.496	0.504	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.496	0.504	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.494	0.506	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.494	0.506	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.493	0.507	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.490	0.509	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.490	0.510	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.484	0.516	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.476	0.524	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.453	0.547	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.450	0.550	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.438	0.562	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.427	0.573	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.417	0.583	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.376	0.624	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.326	0.674	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.322	0.677	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.314	0.685	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.311	0.689	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.290	0.710	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.289	0.711	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.271	0.729	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.257	0.743	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.247	0.753	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.244	0.756	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.001	0.774	0.225
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.218	0.782	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.218	0.782	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.197	0.802	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.188	0.811	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.152	0.848	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.147	0.853	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.128	0.872	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.122	0.878	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.122	0.878	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.118	0.882	0.000
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.107	0.893	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.090	0.910	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.087	0.913	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.084	0.916	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.079	0.921	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.076	0.924	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.073	0.927	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.061	0.939	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.058	0.942	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.057	0.943	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.052	0.948	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.052	0.948	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.051	0.949	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.051	0.949	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.044	0.955	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.044	0.956	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.036	0.964	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.033	0.967	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.032	0.967	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.031	0.969	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.028	0.972	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.028	0.972	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.027	0.973	0.000
rs16958148 lBF = `0.0209686` Chr`16` : `82,710,856`	0.022	0.978	0.000
rs6500395 lBF = `-0.0176278` Chr`16` : `48,621,402`	0.022	0.978	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.019	0.980	0.000
rs9934935 lBF = `0.0391536` Chr`16` : `82,704,528`	0.019	0.981	0.000
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.017	0.983	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.014	0.986	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.011	0.988	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.011	0.988	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.010	0.990	0.000
rs6500818 lBF = `0.29881` Chr`16` : `6,817,375`	0.010	0.990	0.000
rs16958145 lBF = `0.0200556` Chr`16` : `82,710,818`	0.009	0.991	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.008	0.992	0.000
rs153091 lBF = `-0.0606374` Chr`16` : `13,253,956`	0.008	0.992	0.000
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.007	0.993	0.000
rs16944158 lBF = `-0.0260663` Chr`16` : `49,652,779`	0.000	0.993	0.007
rs746080 lBF = `-0.101673` Chr`16` : `84,274,405`	0.000	0.994	0.006
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.005	0.994	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.005	0.995	0.000
rs1065656 lBF = `-0.0578323` Chr`16` : `1,838,836`	0.005	0.995	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.004	0.996	0.000
rs10514550 lBF = `0.0287587` Chr`16` : `82,703,845`	0.004	0.996	0.000
rs4527026 lBF = `0.00365789` Chr`16` : `19,960,320`	0.004	0.996	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.004	0.996	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.004	0.996	0.000
rs8177876 lBF = `0.0229414` Chr`16` : `81,124,275`	0.004	0.996	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.004	0.996	0.000
rs10500569 lBF = `0.759407` Chr`16` : `72,756,101`	0.000	0.996	0.004
rs12928822 lBF = `0.0935872` Chr`16` : `11,403,893`	0.000	0.996	0.004
rs4889294 lBF = `-0.103527` Chr`16` : `81,303,759`	0.004	0.996	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.003	0.997	0.000
rs192917960 lBF = `0.00220954` Chr`16` : `5,919,655`	0.003	0.997	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.003	0.997	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.003	0.997	0.000
rs4784223 lBF = `83.2469` Chr`16` : `52,575,907`	0.003	0.997	0.000
rs9788927 lBF = `0.0479818` Chr`16` : `7,929,828`	0.003	0.997	0.000
rs2086824 lBF = `0.0494884` Chr`16` : `89,471,246`	0.002	0.997	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.002	0.997	0.000
rs344364 lBF = `0.00835018` Chr`16` : `1,973,516`	0.000	0.998	0.002
rs3803662 lBF = `82.3326` Chr`16` : `52,586,341`	0.002	0.998	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.002	0.998	0.000
rs889573 lBF = `7.12365` Chr`16` : `89,437,560`	0.000	0.998	0.002
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.002	0.998	0.000
rs280872 lBF = `6.30335` Chr`16` : `77,643,421`	0.000	0.998	0.002
rs12444931 lBF = `1.20963` Chr`16` : `7,753,704`	0.002	0.998	0.000
rs12446301 lBF = `-0.00486397` Chr`16` : `82,697,661`	0.002	0.998	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.002	0.998	0.000
rs6499755 lBF = `0.0777403` Chr`16` : `55,341,135`	0.000	0.998	0.002
rs8050326 lBF = `0.0307075` Chr`16` : `86,104,142`	0.002	0.998	0.000
rs8048207 lBF = `0.0699144` Chr`16` : `61,778,095`	0.002	0.998	0.000
rs2080501 lBF = `-0.113713` Chr`16` : `49,643,566`	0.000	0.998	0.002
rs529866 lBF = `0.0630112` Chr`16` : `11,373,320`	0.000	0.998	0.002
rs2903308 lBF = `-0.101953` Chr`16` : `13,656,885`	0.000	0.998	0.002
rs4780401 lBF = `-0.0932928` Chr`16` : `11,839,326`	0.002	0.998	0.000
rs423674 lBF = `0.0653803` Chr`16` : `11,373,405`	0.000	0.998	0.002
rs10514585 lBF = `0.162803` Chr`16` : `83,284,338`	0.000	0.998	0.002
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.002	0.998	0.000
rs12597422 lBF = `0.019029` Chr`16` : `53,887,738`	0.002	0.998	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.002	0.998	0.000
rs2221433 lBF = `-0.0502745` Chr`16` : `10,663,627`	0.000	0.998	0.002
rs75728418 lBF = `0.00082855` Chr`16` : `7,932,578`	0.002	0.998	0.000
rs4784220 lBF = `23.5457` Chr`16` : `52,535,810`	0.002	0.998	0.000
rs7188861 lBF = `0.289045` Chr`16` : `11,454,650`	0.000	0.998	0.002
rs1478693 lBF = `0.0331999` Chr`16` : `7,164,219`	0.002	0.998	0.000
rs10083777 lBF = `-0.0441441` Chr`16` : `81,065,282`	0.002	0.998	0.000
rs139419280 lBF = `0.00146626` Chr`16` : `82,664,833`	0.001	0.998	0.000
rs2343519 lBF = `-0.060762` Chr`16` : `6,128,520`	0.000	0.998	0.002
rs2288012 lBF = `-0.107255` Chr`16` : `58,327,646`	0.002	0.998	0.000
rs10852344 lBF = `0.613469` Chr`16` : `12,016,919`	0.000	0.998	0.002
rs9940464 lBF = `-0.123422` Chr`16` : `83,360,775`	0.002	0.998	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.001	0.998	0.000
rs4784227 lBF = `91.5144` Chr`16` : `52,599,188`	0.002	0.998	0.000
rs12325192 lBF = `8.86306` Chr`16` : `51,488,129`	0.002	0.998	0.000
rs8045590 lBF = `6.79603` Chr`16` : `6,114,071`	0.001	0.998	0.000
rs77894924 lBF = `0.00094423` Chr`16` : `83,555,020`	0.001	0.998	0.000
rs1126179 lBF = `-0.00741917` Chr`16` : `65,895,364`	0.002	0.998	0.000
rs1381102 lBF = `-0.0328893` Chr`16` : `63,955,447`	0.002	0.998	0.000
rs8050136 lBF = `48.0125` Chr`16` : `53,816,275`	0.001	0.999	0.000
rs7202116 lBF = `47.5465` Chr`16` : `53,821,615`	0.001	0.999	0.000
rs17817449 lBF = `46.9922` Chr`16` : `53,813,367`	0.001	0.999	0.000
rs7193144 lBF = `46.8679` Chr`16` : `53,810,686`	0.001	0.999	0.000
rs36107265 lBF = `5.41624` Chr`16` : `49,785,096`	0.001	0.999	0.000
rs7198849 lBF = `-0.0286209` Chr`16` : `11,373,301`	0.001	0.999	0.000
rs11075990 lBF = `46.9399` Chr`16` : `53,819,893`	0.001	0.999	0.000
rs7185735 lBF = `46.8879` Chr`16` : `53,822,651`	0.001	0.999	0.000
rs9936385 lBF = `46.8713` Chr`16` : `53,819,169`	0.001	0.999	0.000
rs9939609 lBF = `46.8182` Chr`16` : `53,820,527`	0.001	0.999	0.000
rs8043757 lBF = `46.2997` Chr`16` : `53,813,450`	0.001	0.999	0.000
rs11864208 lBF = `-0.0419277` Chr`16` : `50,277,214`	0.000	0.999	0.001
rs10871290 lBF = `0.0578648` Chr`16` : `74,472,696`	0.001	0.999	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.001	0.999	0.000
rs189178161 lBF = `0.00095489` Chr`16` : `12,718,853`	0.001	0.999	0.000
rs2444217 lBF = `-0.0820759` Chr`16` : `4,038,387`	0.001	0.999	0.000
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.001	0.999	0.000
rs6499270 lBF = `6.21665` Chr`16` : `69,917,740`	0.000	0.999	0.001
rs11649112 lBF = `0.0180939` Chr`16` : `13,361,411`	0.001	0.999	0.000
rs58376408 lBF = `0.00381499` Chr`16` : `10,598,307`	0.000	0.999	0.001
rs9941349 lBF = `46.4333` Chr`16` : `53,825,488`	0.001	0.999	0.000
rs1121980 lBF = `51.6781` Chr`16` : `53,809,247`	0.001	0.999	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.001	0.999	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.001	0.999	0.000
rs11859036 lBF = `-0.114229` Chr`16` : `80,305,551`	0.001	0.999	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.001	0.999	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.001	0.999	0.000
rs16951021 lBF = `0.00072306` Chr`16` : `52,321,976`	0.001	0.999	0.000
rs7199343 lBF = `-0.0507337` Chr`16` : `73,009,024`	0.000	0.999	0.001
rs17817964 lBF = `47.4145` Chr`16` : `53,828,066`	0.001	0.999	0.000
rs367569 lBF = `0.26583` Chr`16` : `11,365,500`	0.000	0.999	0.001
rs13339636 lBF = `0.00046186` Chr`16` : `298,588`	0.001	0.999	0.000
rs34924084 lBF = `-0.0605865` Chr`16` : `5,003,074`	0.001	0.999	0.000
rs2903692 lBF = `2.57866` Chr`16` : `11,238,783`	0.001	0.999	0.000
rs12149074 lBF = `0.0293647` Chr`16` : `80,105,866`	0.001	0.999	0.000
rs3751812 lBF = `47.8875` Chr`16` : `53,818,460`	0.001	0.999	0.000
rs4889009 lBF = `0.0801592` Chr`16` : `79,700,447`	0.001	0.999	0.000
rs9930506 lBF = `40.5758` Chr`16` : `53,830,465`	0.001	0.999	0.000
rs62026376 lBF = `7.97252` Chr`16` : `11,228,712`	0.001	0.999	0.000
rs181710595 lBF = `0.00066922` Chr`16` : `83,467,344`	0.001	0.999	0.000
rs75774303 lBF = `0.00065522` Chr`16` : `19,274,552`	0.001	0.999	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.001	0.999	0.000
rs62033400 lBF = `46.7329` Chr`16` : `53,811,788`	0.001	0.999	0.000
rs191151465 lBF = `0.00036546` Chr`16` : `77,594,452`	0.001	0.999	0.000
rs1421085 lBF = `51.7214` Chr`16` : `53,800,954`	0.001	0.999	0.000
rs9940128 lBF = `50.6204` Chr`16` : `53,800,754`	0.001	0.999	0.000
rs10521318 lBF = `0.0477271` Chr`16` : `86,011,337`	0.001	0.999	0.000
rs6540223 lBF = `0.354428` Chr`16` : `88,321,436`	0.001	0.999	0.000
rs41389746 lBF = `-0.00008696` Chr`16` : `82,638,218`	0.001	0.999	0.000
rs9921338 lBF = `-0.029943` Chr`16` : `11,416,839`	0.000	0.999	0.001
rs6563898 lBF = `-0.136302` Chr`16` : `83,358,776`	0.000	0.999	0.001
rs12922061 lBF = `49.1158` Chr`16` : `52,635,000`	0.001	0.999	0.000
rs11648422 lBF = `8.5436` Chr`16` : `90,105,004`	0.001	0.999	0.000
rs16948255 lBF = `0.00011315` Chr`16` : `74,881,820`	0.001	0.999	0.000
rs1558902 lBF = `52.4011` Chr`16` : `53,803,574`	0.001	0.999	0.000
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.001	0.999	0.000
rs7498985 lBF = `9.80974` Chr`16` : `90,103,117`	0.001	0.999	0.000
rs4780355 lBF = `0.183442` Chr`16` : `11,347,858`	0.000	0.999	0.001
rs1659127 lBF = `0.00015981` Chr`16` : `14,388,305`	0.001	0.999	0.000
rs147174681 lBF = `0.00003173` Chr`16` : `55,718,097`	0.001	0.999	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.001	0.999	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.001	0.999	0.000
rs9922619 lBF = `40.3298` Chr`16` : `53,831,771`	0.001	0.999	0.000
rs62052821 lBF = `8.48117` Chr`16` : `69,598,657`	0.001	0.999	0.000
rs1397142 lBF = `0.222403` Chr`16` : `9,343,347`	0.001	0.999	0.000
rs1463132 lBF = `0.0211482` Chr`16` : `10,183,087`	0.000	0.999	0.001
rs17688076 lBF = `0.0139568` Chr`16` : `68,286,427`	0.001	0.999	0.000
rs12598815 lBF = `0.013489` Chr`16` : `82,848,208`	0.001	0.999	0.000
rs2034588 lBF = `0.00016354` Chr`16` : `8,329,327`	0.001	0.999	0.000
rs10852453 lBF = `0.00014183` Chr`16` : `53,073,788`	0.000	0.999	0.001
rs9922516 lBF = `0.0001418` Chr`16` : `18,024,850`	0.001	0.999	0.000
rs7203560 lBF = `0.00013589` Chr`16` : `184,390`	0.001	0.999	0.000
rs11075747 lBF = `5.5427` Chr`16` : `69,940,361`	0.001	0.999	0.000
rs13333308 lBF = `0.00000543` Chr`16` : `11,701,649`	0.001	0.999	0.000
rs114607539 lBF = `0` Chr`16` : `60,697,586`	0.001	0.999	0.001
rs143522076 lBF = `0` Chr`16` : `81,375,852`	0.001	0.999	0.001
rs191732819 lBF = `0` Chr`16` : `13,865,227`	0.001	0.999	0.001
rs79206939 lBF = `0` Chr`16` : `53,860,052`	0.001	0.999	0.001
rs150896862 lBF = `0` Chr`16` : `60,690,432`	0.001	0.999	0.001
rs142313660 lBF = `0` Chr`16` : `81,370,140`	0.001	0.999	0.001
rs186108482 lBF = `0` Chr`16` : `13,859,191`	0.001	0.999	0.001
rs115958457 lBF = `0` Chr`16` : `86,827,007`	0.001	0.999	0.001
rs143132326 lBF = `0` Chr`16` : `60,734,667`	0.001	0.999	0.001
rs73251207 lBF = `0` Chr`16` : `87,615,821`	0.001	0.999	0.001
rs116768843 lBF = `0` Chr`16` : `60,732,168`	0.001	0.999	0.001
rs151011520 lBF = `0` Chr`16` : `65,661,516`	0.001	0.999	0.001
rs148319405 lBF = `0` Chr`16` : `50,908,818`	0.001	0.999	0.001
rs181225015 lBF = `0` Chr`16` : `84,204,378`	0.001	0.999	0.001
rs146680296 lBF = `0` Chr`16` : `60,710,472`	0.001	0.999	0.001
rs188330159 lBF = `0` Chr`16` : `60,694,183`	0.001	0.999	0.001
rs79007183 lBF = `0` Chr`16` : `1,705,794`	0.001	0.999	0.001
rs143661751 lBF = `0` Chr`16` : `73,722,291`	0.001	0.999	0.001
rs184252378 lBF = `0` Chr`16` : `8,122,672`	0.001	0.999	0.001
rs28497028 lBF = `0` Chr`16` : `81,372,590`	0.001	0.999	0.001
rs144039930 lBF = `0` Chr`16` : `21,252,260`	0.001	0.999	0.001
rs74681184 lBF = `0` Chr`16` : `60,744,623`	0.001	0.999	0.001
rs147153117 lBF = `0` Chr`16` : `51,061,528`	0.001	0.999	0.001
rs112141546 lBF = `0` Chr`16` : `77,401,515`	0.001	0.999	0.001
rs2303790 lBF = `0` Chr`16` : `57,017,292`	0.001	0.999	0.001
rs184181234 lBF = `0` Chr`16` : `60,726,207`	0.001	0.999	0.001
rs189297294 lBF = `0` Chr`16` : `25,221,816`	0.001	0.999	0.001
rs12386026 lBF = `-0.0000022` Chr`16` : `82,817,591`	0.001	0.999	0.000
rs728571 lBF = `2.30158` Chr`16` : `55,214,093`	0.001	0.999	0.000
rs9935937 lBF = `0.946034` Chr`16` : `74,986,485`	0.001	0.999	0.000
rs1381451 lBF = `0.00001435` Chr`16` : `51,715,875`	0.000	0.999	0.001
rs9302841 lBF = `-0.00000593` Chr`16` : `7,227,122`	0.001	0.999	0.000
rs7187140 lBF = `-0.00000637` Chr`16` : `16,011,680`	0.001	0.999	0.000
rs9924561 lBF = `-0.00001304` Chr`16` : `314,780`	0.001	0.999	0.000
rs13335629 lBF = `-0.0000141` Chr`16` : `310,380`	0.001	0.999	0.000
rs78394940 lBF = `-0.00002103` Chr`16` : `11,222,238`	0.000	0.999	0.001
rs889472 lBF = `-0.080382` Chr`16` : `79,645,989`	0.000	0.999	0.001
rs9928084 lBF = `5.80898` Chr`16` : `90,105,726`	0.001	0.999	0.000
rs79090407 lBF = `0.218688` Chr`16` : `26,517,133`	0.000	0.999	0.001
rs6500602 lBF = `0.0560949` Chr`16` : `4,497,451`	0.000	0.999	0.001
rs16963349 lBF = `0.00063379` Chr`16` : `84,338,234`	0.000	0.999	0.001
rs17881561 lBF = `15.983` Chr`16` : `70,513,010`	0.001	0.999	0.000
rs36045143 lBF = `8.58538` Chr`16` : `11,224,966`	0.001	0.999	0.000
rs9938149 lBF = `1.82075` Chr`16` : `88,331,640`	0.001	0.999	0.000
rs2361755 lBF = `0.37744` Chr`16` : `86,009,686`	0.001	0.999	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.001	0.999	0.000
rs9646303 lBF = `0.011346` Chr`16` : `87,461,969`	0.001	0.999	0.000
rs11640439 lBF = `-0.00336443` Chr`16` : `57,303,194`	0.001	0.999	0.000
rs3136202 lBF = `-0.121136` Chr`16` : `14,038,174`	0.001	0.999	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.001	0.999	0.000
rs4581712 lBF = `1.08755` Chr`16` : `80,497,601`	0.000	0.999	0.001
rs1991867 lBF = `-0.041253` Chr`16` : `82,519,228`	0.001	0.999	0.000
rs7203459 lBF = `7.36315` Chr`16` : `11,230,703`	0.001	0.999	0.000
rs2307022 lBF = `0.14837` Chr`16` : `68,381,978`	0.001	0.999	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.001	0.999	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.001	0.999	0.000
rs4465599 lBF = `3.2933` Chr`16` : `13,154,878`	0.001	0.999	0.000
rs11076221 lBF = `0.0497871` Chr`16` : `51,961,543`	0.000	0.999	0.001
rs74475935 lBF = `-0.00036537` Chr`16` : `16,055,106`	0.000	0.999	0.000
rs12149832 lBF = `42.7014` Chr`16` : `53,842,908`	0.001	0.999	0.000
rs80213544 lBF = `10.5045` Chr`16` : `75,116,252`	0.001	0.999	0.000
rs34286592 lBF = `0.631949` Chr`16` : `29,820,480`	0.001	0.999	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.001	0.999	0.000
rs12921846 lBF = `2.29434` Chr`16` : `6,910,385`	0.001	0.999	0.000
rs12447690 lBF = `0.72227` Chr`16` : `88,298,124`	0.001	0.999	0.000
rs62041965 lBF = `0.00631872` Chr`16` : `79,551,227`	0.001	0.999	0.000
rs310008 lBF = `-0.027498` Chr`16` : `81,473,649`	0.001	0.999	0.000
rs7188445 lBF = `1.89931` Chr`16` : `79,734,987`	0.000	0.999	0.001
rs4788196 lBF = `0.0575291` Chr`16` : `29,967,434`	0.001	0.999	0.000
rs12926788 lBF = `0.00831407` Chr`16` : `24,879,963`	0.001	0.999	0.000
rs7194676 lBF = `-0.0614059` Chr`16` : `87,489,891`	0.001	0.999	0.000
rs11642841 lBF = `38.5864` Chr`16` : `53,845,487`	0.001	0.999	0.000
rs4078023 lBF = `0.103761` Chr`16` : `20,320,087`	0.001	0.999	0.000
rs142916547 lBF = `-0.00053781` Chr`16` : `25,500,442`	0.000	0.999	0.000
rs12926503 lBF = `-0.0495952` Chr`16` : `84,031,482`	0.001	0.999	0.000
rs3114908 lBF = `34.5307` Chr`16` : `89,383,725`	0.000	0.999	0.001
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.001	0.999	0.000
rs16966142 lBF = `0.410374` Chr`16` : `89,851,033`	0.000	0.999	0.001
rs1981483 lBF = `0.0161886` Chr`16` : `630,665`	0.001	0.999	0.000
rs11077149 lBF = `5.70606` Chr`16` : `7,264,782`	0.000	0.999	0.001
rs7184362 lBF = `-0.0147603` Chr`16` : `55,879,620`	0.001	0.999	0.000
rs12921383 lBF = `74.0948` Chr`16` : `89,859,753`	0.001	0.999	0.000
rs35942151 lBF = `5.50895` Chr`16` : `6,949,523`	0.001	0.999	0.000
rs16973500 lBF = `-0.0273899` Chr`16` : `71,965,196`	0.001	0.999	0.000
rs4787008 lBF = `-0.0608961` Chr`16` : `7,415,552`	0.000	0.999	0.001
rs12444268 lBF = `-0.0736532` Chr`16` : `20,342,572`	0.001	0.999	0.000
rs11641184 lBF = `0.49443` Chr`16` : `11,704,651`	0.000	0.999	0.001
rs8057031 lBF = `16.8889` Chr`16` : `88,783,449`	0.000	0.999	0.001
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.000	0.999	0.000
rs9923856 lBF = `0.959126` Chr`16` : `11,210,415`	0.001	0.999	0.000
rs8050896 lBF = `0.275154` Chr`16` : `66,158,736`	0.000	0.999	0.001
rs2017567 lBF = `0.00776491` Chr`16` : `637,212`	0.001	0.999	0.000
rs78867184 lBF = `-0.0150379` Chr`16` : `78,335,044`	0.000	0.999	0.001
rs3096277 lBF = `-0.0620276` Chr`16` : `83,764,204`	0.000	0.999	0.001
rs12919634 lBF = `-0.0770561` Chr`16` : `60,462,706`	0.001	0.999	0.000
rs12925700 lBF = `7.5831` Chr`16` : `69,793,463`	0.000	0.999	0.001
rs67335251 lBF = `0.0717983` Chr`16` : `4,071,722`	0.001	0.999	0.000
rs4265793 lBF = `0.0138148` Chr`16` : `19,028,549`	0.001	0.999	0.000
rs137967137 lBF = `-0.00184843` Chr`16` : `80,467,193`	0.000	0.999	0.000
rs4781563 lBF = `-0.1082` Chr`16` : `14,045,399`	0.001	0.999	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.000	0.999	0.000
rs17221417 lBF = `8.74535` Chr`16` : `50,739,582`	0.000	0.999	0.001
rs7193778 lBF = `-0.00004794` Chr`16` : `69,563,890`	0.000	0.999	0.001
rs9941219 lBF = `-0.0623914` Chr`16` : `50,437,528`	0.000	0.999	0.001
rs8044769 lBF = `20.9542` Chr`16` : `53,839,135`	0.000	0.999	0.001
rs78579285 lBF = `6.54421` Chr`16` : `88,813,060`	0.000	0.999	0.001
rs6497490 lBF = `0.0649877` Chr`16` : `20,477,474`	0.000	0.999	0.001
rs11644424 lBF = `0.017494` Chr`16` : `83,326,059`	0.000	0.999	0.001
rs9939760 lBF = `-0.00061628` Chr`16` : `83,652,902`	0.000	0.999	0.000
rs1968499 lBF = `29.5683` Chr`16` : `89,683,240`	0.001	0.999	0.000
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.001	0.999	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.000	0.999	0.000
rs12447542 lBF = `0.31201` Chr`16` : `7,744,180`	0.001	0.999	0.000
rs16945894 lBF = `0.209647` Chr`16` : `48,180,110`	0.001	0.999	0.000
rs2235649 lBF = `0.173412` Chr`16` : `1,837,406`	0.000	0.999	0.001
rs2244613 lBF = `0.167206` Chr`16` : `55,844,609`	0.000	0.999	0.001
rs2601828 lBF = `0.00343066` Chr`16` : `4,103,871`	0.000	0.999	0.001
rs4782151 lBF = `-0.0212758` Chr`16` : `9,325,985`	0.001	0.999	0.000
rs4787491 lBF = `-0.060852` Chr`16` : `30,015,337`	0.001	0.999	0.000
rs55637647 lBF = `-0.092831` Chr`16` : `88,549,264`	0.001	0.999	0.000
rs7193230 lBF = `-0.0987956` Chr`16` : `76,318,542`	0.001	0.999	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.000	0.999	0.000
rs2066842 lBF = `6.51175` Chr`16` : `50,744,624`	0.000	0.999	0.001
rs2744148 lBF = `0.233312` Chr`16` : `1,073,552`	0.001	0.999	0.000
rs117372389 lBF = `-0.00759632` Chr`16` : `50,668,077`	0.001	0.999	0.000
rs4500751 lBF = `-0.0190647` Chr`16` : `15,140,211`	0.000	0.999	0.001
rs12708980 lBF = `-0.122958` Chr`16` : `57,012,379`	0.000	0.999	0.001
rs4581716 lBF = `1.36978` Chr`16` : `7,458,135`	0.000	0.999	0.001
rs11574514 lBF = `0.0579049` Chr`16` : `67,971,380`	0.000	0.999	0.001
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.000	0.999	0.000
rs198160 lBF = `-0.0413913` Chr`16` : `24,240,725`	0.000	0.999	0.001
rs427576 lBF = `-0.0451154` Chr`16` : `73,829,270`	0.000	0.999	0.001
rs1364247 lBF = `-0.0509886` Chr`16` : `82,477,314`	0.000	0.999	0.001
rs11074779 lBF = `-0.0544685` Chr`16` : `26,451,443`	0.000	0.999	0.001
rs6499640 lBF = `-0.0833286` Chr`16` : `53,769,677`	0.000	0.999	0.001
rs9939224 lBF = `-0.0847927` Chr`16` : `57,002,732`	0.001	0.999	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.000	0.999	0.000
rs78432537 lBF = `8.60831` Chr`16` : `69,873,831`	0.000	0.999	0.000
rs12928404 lBF = `1.56682` Chr`16` : `28,847,246`	0.001	0.999	0.000
rs12449000 lBF = `0.335235` Chr`16` : `89,872,970`	0.000	0.999	0.000
rs11645366 lBF = `0.244066` Chr`16` : `62,377,153`	0.001	0.999	0.000
rs1800775 lBF = `0.141918` Chr`16` : `56,995,236`	0.001	0.999	0.000
rs113716969 lBF = `0.0125255` Chr`16` : `76,846,266`	0.000	0.999	0.000
rs16976587 lBF = `-0.00254265` Chr`16` : `27,214,984`	0.000	0.999	0.000
rs13330176 lBF = `-0.0368147` Chr`16` : `86,019,087`	0.000	0.999	0.001
rs7186852 lBF = `-0.0435017` Chr`16` : `30,635,659`	0.001	0.999	0.000
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.000	0.999	0.000
rs17111 lBF = `9.12903` Chr`16` : `84,857,244`	0.000	0.999	0.001
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.000	0.999	0.000
rs6497441 lBF = `0.233259` Chr`16` : `9,829,848`	0.001	0.999	0.000
rs1895518 lBF = `0.0972942` Chr`16` : `64,904,722`	0.000	0.999	0.000
rs12921479 lBF = `0.0503565` Chr`16` : `88,929,207`	0.000	0.999	0.001
rs7499892 lBF = `0.0215668` Chr`16` : `57,006,590`	0.000	0.999	0.001
rs11076175 lBF = `0.0104004` Chr`16` : `57,006,378`	0.000	0.999	0.001
rs7204439 lBF = `-0.00702572` Chr`16` : `661,335`	0.000	0.999	0.000
rs4785763 lBF = `42.4819` Chr`16` : `90,066,936`	0.000	0.999	0.001
rs2863979 lBF = `0.545064` Chr`16` : `68,331,890`	0.001	0.999	0.000
rs246234 lBF = `0.0893087` Chr`16` : `16,128,742`	0.000	0.999	0.001
rs8045064 lBF = `-0.011943` Chr`16` : `24,675,589`	0.000	0.999	0.000
rs17761993 lBF = `-0.0454639` Chr`16` : `24,508,299`	0.001	0.999	0.000
rs7197475 lBF = `-0.0512825` Chr`16` : `30,642,867`	0.001	0.999	0.000
rs4843747 lBF = `-0.0731947` Chr`16` : `87,991,051`	0.000	0.999	0.001
rs889398 lBF = `13.1651` Chr`16` : `69,556,715`	0.000	0.999	0.001
rs2076756 lBF = `8.90573` Chr`16` : `50,756,881`	0.000	0.999	0.001
rs2376883 lBF = `6.6222` Chr`16` : `89,826,926`	0.001	0.999	0.000
rs8049439 lBF = `1.37853` Chr`16` : `28,837,515`	0.001	0.999	0.000
rs13708 lBF = `0.663477` Chr`16` : `31,000,809`	0.001	0.999	0.000
rs154663 lBF = `0.192986` Chr`16` : `89,726,035`	0.000	0.999	0.000
rs2608200 lBF = `0.026111` Chr`16` : `20,122,290`	0.000	0.999	0.001
rs1136001 lBF = `0.0202838` Chr`16` : `15,131,974`	0.000	0.999	0.001
rs4597304 lBF = `0.0126915` Chr`16` : `85,055,741`	0.000	0.999	0.001
rs6497436 lBF = `0.0105106` Chr`16` : `20,123,515`	0.000	0.999	0.001
rs113496184 lBF = `-0.0103842` Chr`16` : `79,040,104`	0.000	0.999	0.000
rs73591976 lBF = `-0.0361216` Chr`16` : `67,811,590`	0.000	0.999	0.000
rs8056650 lBF = `-0.044881` Chr`16` : `59,890,698`	0.000	0.999	0.000
rs17214007 lBF = `-0.0640851` Chr`16` : `15,883,490`	0.000	0.999	0.000
rs12446940 lBF = `-0.0678355` Chr`16` : `3,962,620`	0.001	0.999	0.000
rs4788084 lBF = `1.881` Chr`16` : `28,539,848`	0.000	0.999	0.000
rs7359397 lBF = `1.47495` Chr`16` : `28,885,659`	0.001	0.999	0.000
rs10514604 lBF = `-0.0138753` Chr`16` : `84,446,384`	0.000	0.999	0.001
rs10521222 lBF = `-0.0149816` Chr`16` : `51,158,710`	0.000	0.999	0.000
rs12597579 lBF = `-0.0233316` Chr`16` : `20,257,867`	0.000	0.999	0.000
rs12933472 lBF = `-0.0490657` Chr`16` : `82,924,685`	0.000	0.999	0.000
rs4785759 lBF = `21.4425` Chr`16` : `90,050,880`	0.000	0.999	0.000
rs7404939 lBF = `15.3255` Chr`16` : `88,807,896`	0.000	0.999	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.000	0.999	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.000	0.999	0.000
rs2066847 lBF = `5.18245` Chr`16` : `50,763,778`	0.000	0.999	0.000
rs8050940 lBF = `0.0737519` Chr`16` : `62,100,211`	0.000	0.999	0.000
rs11648716 lBF = `0.0568877` Chr`16` : `85,906,616`	0.000	0.999	0.000
rs150252171 lBF = `0.013109` Chr`16` : `62,570,349`	0.000	0.999	0.000
rs74249229 lBF = `0.012421` Chr`16` : `69,979,271`	0.000	0.999	0.000
rs138250198 lBF = `-0.00017136` Chr`16` : `31,261,856`	0.000	0.999	0.000
rs2042415 lBF = `-0.029517` Chr`16` : `74,978,618`	0.000	0.999	0.000
rs7186908 lBF = `-0.0722486` Chr`16` : `72,220,373`	0.000	0.999	0.000
rs77870048 lBF = `25.4086` Chr`16` : `69,965,021`	0.000	0.999	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.000	0.999	0.000
rs34735233 lBF = `8.29735` Chr`16` : `3,993,318`	0.000	0.999	0.000
rs4788099 lBF = `1.54973` Chr`16` : `28,855,727`	0.000	0.999	0.000
rs62037363 lBF = `1.53611` Chr`16` : `28,865,042`	0.000	0.999	0.000
rs3888190 lBF = `1.43112` Chr`16` : `28,889,486`	0.000	0.999	0.000
rs16955379 lBF = `0.413015` Chr`16` : `81,489,373`	0.000	0.999	0.000
rs5880 lBF = `0.190648` Chr`16` : `57,015,091`	0.000	0.999	0.000
rs11643520 lBF = `0.13389` Chr`16` : `24,531,718`	0.000	0.999	0.000
rs7190997 lBF = `0.0229797` Chr`16` : `31,368,178`	0.000	0.999	0.000
rs7499271 lBF = `0.00373174` Chr`16` : `20,555,259`	0.000	0.999	0.000
rs9933712 lBF = `0.00278812` Chr`16` : `14,086,445`	0.000	0.999	0.000
rs9928486 lBF = `0.00015953` Chr`16` : `24,088,176`	0.000	0.999	0.000
rs9938585 lBF = `-0.00002905` Chr`16` : `24,085,201`	0.000	0.999	0.000
rs1741 lBF = `-0.0128875` Chr`16` : `15,130,351`	0.000	0.999	0.000
rs8052123 lBF = `-0.0456471` Chr`16` : `57,563,671`	0.000	0.999	0.000
rs7188801 lBF = `-0.0564031` Chr`16` : `86,707,769`	0.000	0.999	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.000	1.000	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.000	1.000	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.000	1.000	0.000
rs34952337 lBF = `5.6582` Chr`16` : `66,470,822`	0.000	1.000	0.000
rs4575545 lBF = `2.46975` Chr`16` : `79,755,446`	0.000	1.000	0.000
rs2106261 lBF = `1.59153` Chr`16` : `73,051,620`	0.000	1.000	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.000	1.000	0.000
rs6499165 lBF = `0.699227` Chr`16` : `68,326,200`	0.000	1.000	0.000
rs117208012 lBF = `0.365036` Chr`16` : `347,063`	0.000	1.000	0.000
rs147774538 lBF = `0.202063` Chr`16` : `10,372,520`	0.000	1.000	0.000
rs11117432 lBF = `0.194317` Chr`16` : `86,019,271`	0.000	1.000	0.000
rs12922317 lBF = `0.173024` Chr`16` : `12,077,632`	0.000	1.000	0.000
rs7191700 lBF = `0.165901` Chr`16` : `11,406,803`	0.000	1.000	0.000
rs149133508 lBF = `0.140559` Chr`16` : `34,850,618`	0.000	1.000	0.000
rs7195486 lBF = `0.121104` Chr`16` : `4,255,180`	0.000	1.000	0.000
rs1424233 lBF = `0.110618` Chr`16` : `79,682,751`	0.000	1.000	0.000
rs4888966 lBF = `0.0643644` Chr`16` : `79,431,853`	0.000	1.000	0.000
rs34975147 lBF = `0.0249252` Chr`16` : `87,678,576`	0.000	1.000	0.000
rs74019828 lBF = `0.0231635` Chr`16` : `58,209,274`	0.000	1.000	0.000
rs11150078 lBF = `0.0169832` Chr`16` : `78,466,704`	0.000	1.000	0.000
rs77414823 lBF = `0.0156811` Chr`16` : `49,982,757`	0.000	1.000	0.000
rs17797882 lBF = `0.00437634` Chr`16` : `79,406,918`	0.000	1.000	0.000
rs1809845 lBF = `-0.00251154` Chr`16` : `86,186,072`	0.000	1.000	0.000
rs117322171 lBF = `-0.00481216` Chr`16` : `52,884,529`	0.000	1.000	0.000
rs12600277 lBF = `-0.00539822` Chr`16` : `58,759,332`	0.000	1.000	0.000
rs3743714 lBF = `-0.0087003` Chr`16` : `66,583,705`	0.000	1.000	0.000
rs763014 lBF = `-0.0101051` Chr`16` : `675,680`	0.000	1.000	0.000
rs148560653 lBF = `-0.0192039` Chr`16` : `60,939,777`	0.000	1.000	0.000
rs9932186 lBF = `-0.0871129` Chr`16` : `60,314,656`	0.000	1.000	0.000
rs9708611 lBF = `11.5019` Chr`16` : `52,612,665`	0.000	1.000	0.000
rs57374020 lBF = `10.9383` Chr`16` : `88,847,523`	0.000	1.000	0.000
rs77576048 lBF = `9.88924` Chr`16` : `90,078,724`	0.000	1.000	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.000	1.000	0.000
rs1296720 lBF = `2.00067` Chr`16` : `3,873,642`	0.000	1.000	0.000
rs17713676 lBF = `1.1768` Chr`16` : `79,073,421`	0.000	1.000	0.000
rs10782001 lBF = `0.547891` Chr`16` : `30,942,625`	0.000	1.000	0.000
rs17445836 lBF = `0.296492` Chr`16` : `86,017,663`	0.000	1.000	0.000
rs4150167 lBF = `0.122519` Chr`16` : `84,213,684`	0.000	1.000	0.000
rs6498540 lBF = `0.0170265` Chr`16` : `15,130,594`	0.000	1.000	0.000
rs13335336 lBF = `0.0144653` Chr`16` : `10,559,263`	0.000	1.000	0.000
rs79900961 lBF = `0.00797861` Chr`16` : `9,297,812`	0.000	1.000	0.000
rs4082514 lBF = `-0.00350218` Chr`16` : `82,379,953`	0.000	1.000	0.000
rs11863065 lBF = `-0.00849213` Chr`16` : `82,326,805`	0.000	1.000	0.000
rs75825892 lBF = `-0.0280486` Chr`16` : `4,257,313`	0.000	1.000	0.000
rs9924758 lBF = `-0.072789` Chr`16` : `13,616,484`	0.000	1.000	0.000
rs13329952 lBF = `29.1228` Chr`16` : `20,366,507`	0.000	1.000	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.000	1.000	0.000
rs34552238 lBF = `12.5616` Chr`16` : `89,920,497`	0.000	1.000	0.000
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.000	1.000	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.000	1.000	0.000

This table lists the top 500 variants ordered by p(effect).

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.3657

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2250

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.1448

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9993

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9977

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9971

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9941

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9925

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9910

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9901

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9901

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9878

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9871

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9836

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9830

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9820

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9796

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.9760

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9760

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9658

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9645

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9609

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9556

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9497

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9484

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.9469

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9468

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.9467

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9451

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9379

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.9377

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9362

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9351

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9342

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9316

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9308

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9178

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9116

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9093

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9058

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8988

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8988

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8958

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8936

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.8909

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.8893

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.8880

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.8871

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.8831

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8812

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.8806

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.8687

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8675

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8674

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8645

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.8641

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8633

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8509

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.8452

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8342

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.8306

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8239

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.8235

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.8183

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.8141

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8136

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8116

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8020

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7989

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7978

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7977

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7945

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7878

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.7870

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7839

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7811

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7764

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.7755

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7747

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7569

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7546

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.7528

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7483

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7456

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7389

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7386

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.7324

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7292

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7239

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.7228

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.7169

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7148

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7005

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6990

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6981

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6964

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6945

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6820

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6715

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6666

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.6512

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.6234

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6225

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.6205

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6169

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.6144

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5894

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5647

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5632

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5624

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5569

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.5351

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5304

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5139

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5097

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4679

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.4619

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.4501

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.4340

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.4328

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.4157

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4143

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.3911

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.3804

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.2669

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.2572

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2538

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2347

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.2146

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.2065

Cluster X0216

log Bayes Factor = 162.135

contains 6 variants

0.1880

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1803

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.1654

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.1136

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.1070

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.1027

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.0971

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.0889

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.0607

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0584

The TreeWAS Database is the result of research conducted at the Oxford Big Data Institute at the University of Oxford.

This research has been conducted using the UK Biobank Resource (application number 10625). This work uses data provided by patients and collected by the NHS as part of their care and support.

This research has been conducted with the support of the Wellcome Trust (100956/Z/13/Z and 090532/Z/09/Z and 100308/Z/12/Z), the Danish National Research Foundation, Takeda, the Medical Research Council (MC_UU_12010/3), the Oak Foundation (OCAY-15-520), the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC), the Wellcome Trust/Royal Society (204290/Z/16/Z) and the Li Ka Shing Foundation.

Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

(posterior probability > 0.05)

(posterior probability > 0.05)

Diagnostic term associations

Hospitalization Episode Statistics (HES)

(posterior probability > 0.05)

(posterior probability > 0.05)

Hospitalization Episode Statistics (`HES`)